Principal Director, Enterprise AI Strategy

GSK; North East; On-site; GBP 146,000 - 243,000; Full time

Job summary

GSK is seeking a senior Enterprise AI professional to steer a portfolio of AI-enabled marketing initiatives globally. You will identify high-impact opportunities, shape problem statements, and align engineers with value-driven engagements across R&D, Medical, Commercial, and beyond.

You will partner with senior leaders to quantify business impact, prototype solutions, and refine decision criteria, ensuring scalable outcomes while safeguarding engineering focus at every step.

Qualifications

• 15 or more years of professional experience across pharma/life sciences, AI/ML product strategy, and product management or strategy roles in technology-led organizations.
• Track record of taking at least one technology or AI initiative from problem framing through executive funding and into delivery.
• Direct involvement in pharma marketing enablement, including brief development, global-to-local content adaptation, content supply chain, MLR review, channel activation, or performance measurement.
• Hands-on work with modern AI/ML concepts — including LLMs, agentic systems, and digital workers, the ML lifecycle, and data and evaluation patterns.
• Prior responsibility for operating as an individual contributor without direct reports and influencing engineering and business teams through frameworks and documented decision criteria.
• Background in product management or product strategy, including opportunity sizing, roadmap development, prototyping, and stakeholder alignment.
• Prior responsibility for coordinating creative asset development and content submission workflows, including MLR readiness, to enable deployment across channels.
• Track record of translating omnichannel strategy into execution briefs for content and channel delivery teams.
• Direct involvement in partnering with internal MLR review processes and external agency or production partners on digital program delivery.
• Working knowledge of content lifecycle traceability processes that link derivative content to its approved source.

Responsibilities

• Hunt for high-value AI opportunities across the end-to-end marketing enablement lifecycle — brief development and campaign strategy, global-to-local content adaptation, content supply chain and MLR review, channel activation, and performance analytics — and develop a global portfolio of AI products ranked by impact, feasibility, and time-to-value.
• Quantify value rigorously by building business cases that hold up with finance and executive sponsors — cycle time saved, decisions accelerated, revenue uplift, cost avoided, scientific productivity gained.
• Develop domain pattern recognition in end-to-end marketing enablement workflows so you can spot AI-shaped problems the business itself hasn’t yet articulated.
• Own the Enterprise AI opportunity portfolio, maintaining a living view of in-flight, queued, and de-prioritized opportunities, with the rationale for each decision.
• Make hard trade-off calls — building the framework, defining success metrics, running the analysis, and recommending where engineers go when business units compete for the same resources.
• Be the strategic counterpart to the forward deployed, full-stack, and data engineering leads, translating ambiguous business problems into crisp problem statements, prototypes, success metrics, and decision frameworks engineers can build against.
• Shape engagements end-to-end — defining scope, success criteria, exit conditions, and scaling pathways before kick-off, then staying close as engineers execute.
• Surface re-use and platform leverage, spotting when a one-off solution should become a reusable capability and working with engineering to make that case.

Skills

AI Platforms

Change Management

Data Analysis

Feature Prioritization

Machine Learning Model Management

ML Platforms

Model Evaluation

Performance Analysis

Product Delivery

Product Design

Product Lifecycle Management

Product Roadmapping

Roadmap Development

Statistical Analysis

User Needs Analysis

Tools

Veeva Vault PromoMats/MedComms

Adobe Experience Manager

Workfront

Salesforce Marketing Cloud

Job description

GSK is seeking a senior Enterprise AI professional to steer a portfolio of AI-enabled marketing initiatives globally. You will identify high-impact opportunities, shape problem statements, and align engineers with value-driven engagements across R&D, Medical, Commercial, and beyond.

You will partner with senior leaders to quantify business impact, prototype solutions, and refine decision criteria, ensuring scalable outcomes while safeguarding engineering focus at every step.